code: def test_simple_art1(self):
      ann = algorithms.ART1(
          step=2, rho=0.7, n_clusters=2, verbose=False
      )
      classes = ann.predict(data)
  
      for answer, result in zip([0, 1, 1], classes):
          self.assertEqual(result, answer)
  
      self.assertPickledNetwork(ann, data)
  
file_path: neupy/tests/algorithms/competitive/test_art.py
imports: import numpy
  import pandas
  from sklearn import preprocessing
  from neupy import algorithms
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the ARTTestCase obj's underlying member method code with example usage: obj.test_simple_art1() without return types